senior data software engineer

Data Software Engineering, Databricks, Python, PySpark, Microsoft Azure, SQL Azure

Poland

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Senior Data Software Engineer

Join our remote team as a Senior Data Software Engineer within a global leader at the forefront of cybersecurity technologies, unified endpoint management, and intelligent automation services. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Develop and implement Proof of Concept (POC) for the replacement of the external vendor inside of Estee Lauder Azure infrastructure.
Setup required Azure services for POC
Extract data from data lake (EDL)
Process data based on application requirements & architecture
Mimic the current existing application.
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of systems
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of production experience in Data Software Engineering
Be hands-on with deep expertise in Python and PySpark for building scalable data processing pipelines
Deep expertise in Microsoft Azure for designing and building cloud-based infrastructure and applications
Experience with SQL Azure for designing and managing database schema, including procedures, triggers, and views
Familiarity with Databricks for data engineering and analytics
Support applications and systems in a production environment, ensuring timely resolution of issues
Reviewing requirements and translating them into a documented technical design for implementation
Exposure to containerization technologies such as Docker for application packaging and deployment
Experience with Python web services (e.g., Django, Flask) for building scalable and high-performance applications
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have